Instructions to use google/owlvit-base-patch16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/owlvit-base-patch16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="google/owlvit-base-patch16")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("google/owlvit-base-patch16") model = AutoModelForZeroShotObjectDetection.from_pretrained("google/owlvit-base-patch16") - Notebooks
- Google Colab
- Kaggle
Alara Dirik commited on
Commit ·
9cb3acb
1
Parent(s): e532714
Fix feature extractor resizing bug
Browse files- preprocessor_config.json +1 -1
preprocessor_config.json
CHANGED
|
@@ -18,5 +18,5 @@
|
|
| 18 |
"processor_class": "OwlViTProcessor",
|
| 19 |
"resample": 3,
|
| 20 |
"rescale": true,
|
| 21 |
-
"size": 768
|
| 22 |
}
|
|
|
|
| 18 |
"processor_class": "OwlViTProcessor",
|
| 19 |
"resample": 3,
|
| 20 |
"rescale": true,
|
| 21 |
+
"size": (768, 768)
|
| 22 |
}
|